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Título

Automatic object identification irrespective of geometric changes

AutorPech-Pacheco, José L.; Álvarez-Borrego, Josué; Cristóbal, Gabriel ; Keil, Matthias S.
Palabras claveScale transform
Image processing
Invariant correlation function
Fecha de publicación29-ene-2003
EditorSociety of Photo-Optical Instrumentation Engineers
CitaciónOptical Engineering 42(2): 551-559 (2003)
ResumenWe present a new approach to achieve object identification based on the use of phase correlation in the scale transform domain for automatic character recognition. The results are extensible to other fields. The proposed method is shown to be invariant to translation, rotation, and scale. We extended the methodology used by Casasent and Psaltis by considering a more efficient digital scale transform as an alternative to the Fourier-Mellin techniques. To improve the discriminative power, we introduce a new template matching based on the use of a modified weighted log-polar spectrum. The correlations have been calculated by using phase-only filters (POF) in a digital system. The proposed method is able to provide discrimination between scale and rotation in images to facilitate image registration.
Descripción9 pages, 9 figures.-- ©2003 Society of Photo-Optical Instrumentation Engineers.
Versión del editorhttp://dx.doi.org/10.1117/1.1531189
URIhttp://hdl.handle.net/10261/8939
DOI10.1117/1.1531189
ISSN0091-3286
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